ArticleBMC women's health2024
Combining demographic data and transvaginal ultrasonography: a predictive model for endometrial carcinoma in postmenopausal patients.
Article in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Development and clinical evaluation of an ultrasound-based predictive model for early diagnosis of endometrial cancer.Medicine · 2026Article
- A metabolic marker-based diagnostic model for precancerous and malignant endometrial lesions in insulin-resistant PCOS women with sonographically suspected endometrial polyps.Frontiers in oncology · 2026Article
- Clinical and ultrasound predictors of clinically significant endometrial pathology in women with histologically confirmed lesions: a retrospective case-control study.Frontiers in oncology · 2026Article
- A Machine Learning Model Integrating Preoperative Blood-Based Indices for Early and Noninvasive Detection of Endometrial Cancer.Journal of inflammation research · 2025Article
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Authors and funding
7 authors.
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Abstract
backgroundAlthough clinical guidelines exist for diagnosing abnormal uterine bleeding, there is a significant lack of agreement on the best management strategies for women presenting with symptom, particularly in diagnosing endometrial cancer. This study aimed to develop a preoperative risk model that utilizes demographic factors and transvaginal ultrasonography of the endometrium to assess and predict the risk of malignancy in females with endometrial cancer.
methodsIn this retrospective study, a logistic regression model was developed to predict endometrial carcinoma using data from 356 postmenopausal women with endometrial lesions and an endometrial thickness (ET) of 5 mm or more. These patients had undergone transvaginal ultrasonography prior to surgery, with findings including 247 benign and 109 malignant cases. The model's predictive performance was evaluated using receiver operating characteristic (ROC) curve analysis and compared with post-surgical pathological diagnoses.
resultsOur model incorporates several predictors for endometrial carcinoma, including age, history of hypertension, history of diabetes, body mass index (BMI), duration of vaginal bleeding, endometrial thickness, completeness of the endometrial line, and endometrial vascularization. It demonstrated a strong prediction with an area under the curve (AUC) of 0.905 (95% CI, 0.865-0.945). At the optimal risk threshold of 0.33, the model achieved a sensitivity of 82.18% and a specificity of 92.80%.
conclusionsThe established model, which integrates ultrasound evaluations with demographic data, provides a specific and sensitive method for assessing and predicting endometrial carcinoma.
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